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Purpose

The purpose of this Shiny application is to interactively and quickly review previously found genetic Inflammatory Bowel Disease associations identified by the Cedars-Sinai F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute.

Functionality

Search

Users can search associations by Gene (e.g. NOD2), Position (e.g. Chr. 16, between 50731050-50766987), SNP (e.g. rs5743293 or imm_2_204278337), or by File of either a list of genes or SNPs. Searching by position queries by the position of the SNP not by the position of the Gene.

Users can search by multiple Genes or SNPs at a time by selecting multiple Genes or SNPs respectively. If a user has a large list of Genes or SNPs they can copy and paste them into the search box but the Genes/SNPs must be in comma separated format (e.g. IL1,IL2,IL3,IL4,IL5,IL6,IL7,IL8,IL9,IL10,IL11). Due to the large marker list it is possible that your SNP or gene might not be loaded into memory. Typing your SNP out manually will ensure it is correctly visualized.

If you are going to upload a list of Genes or SNPs, the file must consist of a single column of Genes or SNPs in a standard format. The column can be named or un-named.

Filtering

Users can filter their query to only include SNP associations that reach user defined thresholds. Users can filter by:

  1. P Value
  2. Minor Allele Frequency (in the future)
  3. SNP Location (e.g. intron, coding, complex...)
  4. Overall Missingness (in the future)
  5. Overall Hardy-Weinberg Assumptions (in the future)

Once a table of results is returned, a user can sub-filter the table by the output to further narrow down the results.

Download Data

For users who are interested in downloading their query, a Download button can be found at the bottom of every table. The downloaded data will reflect the filters applied from the query, but the "sub-filters" will not be applied.

Data

In total, 68 unique phenotypes generated by 5 analysts are deposited into this repository (2018-06-11). Please contact the analyst listed if you have any additional questions about the significance of their result.

In cases when permutation was performed, the permuted P value replaces the queryable P value and the original (non-permutted) P value is displayed next to the permutted value on he Gene-Pheno-SNP tab.

Markers have been annotated with cis-eQTL data from the Cedars-Sinai Small Bowel 139 dataset. If the relevant loci is also a cis-eQTL in the small bowel dataset, the relevant eGENE, betas and p vaues are also listed next to the marker on the Geno-Pheno-SNP tab. Markers are designated as priority if the eQTL is positioned inside the eGENE or is flanked by the eGENE. eQTL corresponding to insertions and deletions are not included in the application.

Analyst PHENOTYPE Population Notes Year
Alka A_Spondylitis Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka A_Spondylitis Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Arthralgias Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Arthralgias Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka B1 Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka B2 Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka B3 Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Crohn's Disease vs. non-IBD Controls Crohn's Disease Case-control with ichip1-5 and DX 2016 phenotype file from Linda and using 75% Caucasian independent. Covariates including first 4 PCs 2016 - 2017
Alka E_Nodosum Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka E_Nodosum Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka IBD vs. non-IBD Controls IBD Case-control with ichip1-5 and DX 2016 phenotype file from Linda and using 75% Caucasian independent. Covariates including first 4 PCs 2016 - 2017
Alka Iritis Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Iritis Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka L1_ileal Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka L2_colonic Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka L3_ileocolonic Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka L4_UpperGIDisease Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka LeftSided Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka OralUlcers Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Pancolitis Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka PDM Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Proctitis Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka PSC Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Psoriasis Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka PyodermaG Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka PyodermaG Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Smoking_Status Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Smokinghx Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Surgery Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Surgery Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Thrombosis Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Time to Frist Surgery Crohn's Disease Time to first CD surgery associations with ichip1-5 and Sultan’s phenotype file and using 75% Caucasian independent samples. For second surgery, phenotype file from DM. Covariates include first 4 PCs 2016 - 2017
Alka Time to Second Surgery Crohn's Disease Time to Second CD surgery associations with ichip1-5 and Sultan’s phenotype file and using 75% Caucasian independent samples. For second surgery, phenotype file from DM. Covariates include first 4 PCs 2016 - 2017
Alka Ulcerative Colitis vs. non-IBD Controls Ulcerative Colitis Case-control with ichip1-5 and DX 2016 phenotype file from Linda and using 75% Caucasian independent. Covariates including first 4 PCs 2016 - 2017
Alka Uveitis Crohn's Disease 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Alka Uveitis Ulcerative Colitis 75% Caucasian independent samples, phenotypes from Sultan's File, ichip 1-5 2016 - 2017
Dalin Anca CD vs. Anca Ctrl Crohn's Disease iChip 2017
Dalin Anca UC vs. Anca Ctrl Ulcerative Colitis iChip 2017
Dalin Asca CD vs. Asca Ctrl Crohn's Disease iChip 2017
Dalin Asca UC vs. Asca Ctrl Ulcerative Colitis iChip 2017
Dalin Cbir CD vs. Cbir Ctrl Crohn's Disease iChip 2017
Dalin Cbir UC vs. Cbir Ctrl Ulcerative Colitis iChip 2017
Dalin CD vs. Ctrl Crohn's Disease Meta of Cedars, IIBDGC, De Lange paper cohorts 2018
Dalin i2 CD vs. i2 Ctrl Crohn's Disease iChip 2017
Dalin i2 UC vs. i2 Ctrl Ulcerative Colitis iChip 2017
Dalin IBD vs. Ctrl IBD Meta of Cedars, IIBDGC, De Lange paper cohorts 2018
Dalin IGA Asca UC vs. IGA Asca Ctrl Ulcerative Colitis iChip 2017
Dalin IGG Asca CD vs. IGA Asca Ctrl Crohn's Disease iChip 2017
Dalin IGG Asca UC vs. IGA Asca Ctrl Ulcerative Colitis iChip 2017
Dalin OMPC CD vs. OMPC Ctrl Crohn's Disease iChip 2017
Dalin OMPC UC vs. OMPC Ctrl Ulcerative Colitis iChip 2017
Dalin UC vs. Ctrl Ulcerative Colitis Meta of Cedars, IIBDGC, De Lange paper cohorts 2018
Marcy Perianal CD+ vs. Perianal CD- Crohn's Disease International Cohort 2018
Shishir L1 B1 vs non-IBD ctrl Crohn's Disease iChip 1-7, Caucasian 2018
Shishir L1 B2a+B2b vs B1 Crohn's Disease iChip 1-7, Caucasian 2018
Shishir L1 B2a+B2b vs non-IBD ctrl Crohn's Disease iChip 1-7, Caucasian 2018
Shishir L2 B1 vs non-IBD ctrl Crohn's Disease iChip 1-7, Caucasian 2018
Shishir L2 B2a+B2b vs B1 Crohn's Disease iChip 1-7, Caucasian 2018
Shishir L2 B2a+B2b vs non-IBD ctrl Crohn's Disease iChip 1-7, Caucasian 2018
Shishir L3 B1 vs non-IBD ctrl Crohn's Disease iChip 1-7, Caucasian 2018
Shishir L3 B2a+B2b vs B1 Crohn's Disease iChip 1-7, Caucasian 2018
Shishir L3 B2a+B2b vs non-IBD ctrl Crohn's Disease iChip 1-7, Caucasian 2018
Talin anti-TNF primary non-response vs primary response Crohn's Disease Cedars ichip1-5 CD anti-TNF all races but mostly Caucasian, adjusted for 2PC, smoking, disease location, combination therapy 2015 - 2016
Talin anti-TNF primary non-response vs primary response IBD Cedars ichip1-5 all IBD anti-TNF all races but mostly Caucasian, adjusted for 2PC, age dx 2015 - 2016
Talin anti-TNF primary non-response vs primary response Ulcerative Colitits Cedars ichip1-5 UC anti-TNF all races but mostly Caucasian, adjusted for 2PC 2015 - 2016
Talin anti-TNF time to loss of response Crohn's Disease Cedars ichip1-5 CD anti-TNF all races but mostly Caucasian, adjusted for 2PC, anca level, family history IBD 2015 - 2016
Talin anti-TNF time to loss of response IBD Cedars ichip1-5 all IBD anti-TNF all races but mostly Caucasian, adjusted for 2PC, fam dx 2015 - 2016
Talin anti-TNF time to loss of response Ulcerative Colitits Cedars ichip1-5 UC anti-TNF all races but mostly Caucasian, adjusted for 2PC, ompc positivity, anca positivity 2015 - 2016
Talin MRUC time to colectomy Ulcerative Colitis Meta-analysis of Cedars iChip1-4 and international IIBDGC ichip using SNP2HLA (MHC/HLA) imputed, Caucasian only 2015 - 2016
Talin MRUC time to colectomy Ulcerative Colitis Meta-analysis of Cedars iChip1-4 and international IIBDGC ichip, Caucasian only 2015 - 2016
Talin MRUC Time to Colectomy <60 months vs >60 months Ulcerative Colitis Meta-analysis of Cedars iChip1-4 and international IIBDGC ichip using SNP2HLA (MHC/HLA) imputed, Caucasian only 2015 - 2016
Talin MRUC Time to Colectomy <60 months vs >60 months Ulcerative Colitis Meta-analysis of Cedars iChip1-4 and international IIBDGC ichip, Caucasian only 2015 - 2016
Talin MRUC vs non-MRUC Ulcerative Colitis Meta-analysis of Cedars iChip1-4 and international IIBDGC ichip using SNP2HLA (MHC/HLA) imputed, Caucasian only 2015 - 2016
Talin MRUC vs non-MRUC Ulcerative Colitis Meta-analysis of Cedars ichip1-4 and international IIBDGC ichip, Caucasian only 2015 - 2016
Talin Paneth high (>20%) vs low (<20%) abnormal paneth phenotype Crohn's Disease Cedars ichip1-6 + Stappenbeck samples, Caucasian only, adjusted for 2PC 2016 - 2017
Talin Paneth-D0 phenotype Crohn's Disease Cedars ichip1-6 + Stappenbeck samples, Caucasian only, adjusted for 2PC; with corresponding permuted results for selected top snps [permuted due to highly skewed phenotype; need EMP1 pvalues from permuted 2016 - 2017
Talin Paneth-D1 phenotype Crohn's Disease Cedars ichip1-6 + Stappenbeck samples, Caucasian only, adjusted for 2PC; with corresponding permuted results for selected top snps [permuted due to highly skewed phenotype; need EMP1 pvalues from permuted 2016 - 2017
Talin Paneth-D1234 phenotype Crohn's Disease Cedars ichip1-6 + Stappenbeck samples, Caucasian only, adjusted for 2PC; with corresponding permuted results for selected top snps [permuted due to highly skewed phenotype; need EMP1 pvalues from permuted 2016 - 2017
Talin Paneth-D2 phenotype Crohn's Disease Cedars ichip1-6 + Stappenbeck samples, Caucasian only, adjusted for 2PC; with corresponding permuted results for selected top snps [permuted due to highly skewed phenotype; need EMP1 pvalues from permuted 2016 - 2017
Talin Paneth-D3 phenotype Crohn's Disease Cedars ichip1-6 + Stappenbeck samples, Caucasian only, adjusted for 2PC; with corresponding permuted results for selected top snps [permuted due to highly skewed phenotype; need EMP1 pvalues from permuted 2016 - 2017
Talin Paneth-D4 phenotype Crohn's Disease Cedars ichip1-6 + Stappenbeck samples, Caucasian only, adjusted for 2PC; with corresponding permuted results for selected top snps [permuted due to highly skewed phenotype; need EMP1 pvalues from permuted 2016 - 2017
Talin Paneth-D5 phenotype Crohn's Disease Cedars ichip1-6 + Stappenbeck samples, Caucasian only, adjusted for 2PC; with corresponding permuted results for selected top snps [permuted due to highly skewed phenotype; need EMP1 pvalues from permuted 2016 - 2017

Guidance for Analysts Submitting Association Data

The backbone of the application is genetic association tests performed by scientists at the Cedars-Sinai Inflammatory Bowel and Immunobiology Research Institute. To have your association stored in this application the following information is needed in a CSV file per association performed.

  1. Illumina Chip ID
  2. P Value
  3. Odds Ratio or B Value
  4. Confidence Intervals (if performed)
  5. The number of patients in the association (total number in association, both cases and controls)
  6. A1

In addition to the above the analyst will need to submit information on:

  1. The name of the analyst who performed the association
  2. The year the analysis was run
  3. The sample of patients the association was performed on (e.g. Disease Sub-Type (CD or UC), Race, Ethnicity, Jewish, other unique criteria of your analysis)
  4. The phenotype tested

Annotations

All annotation data was produced by Alka Potdar, PhD and correspond to hg19 genomic locations. The following annovar databases were used dbSNP = avsnp147, UCSC knownGene (Gene in the application) and Functional location, and NCBI RefGene.

Hardy-Weinberg, minor allele frequency, and missingness will be performed globally yet might not be applicable to all sub-populations studied.

For markers without an assigned known functional location, they have been assigned UNK. For markers withut an assigned chromosome they have been asigned Chr 999. For markers without an assigned SNP base pair location, they have been assigned location 0 on the corresponding chromosome.

Created By

The Cedars-Sinai F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute Translational Genomics Group.

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shiny app to view cedars associations

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